Terminal Collaborative Path Optimization of Multi-Distribution Subjects for Electric Unmanned Vehicles

Because the planning and design of urban logistics systems do not incorporate terminal logistics distribution into unified solutions, less consideration is given to the collaborative distribution environment of multiple distribution subjects. This oversight results in low overall efficiency and service quality of logistics distribution. Simultaneously, considering the impact of reducing energy consumption and episodic sites on logistics distribution, electric unmanned vehicles with high efficiency, low cost, and noncontact features have become the main vehicle of terminal logistics distribution. Therefore, this paper considers urban terminal distribution, constructs a multiagent collaborative distribution model with electric unmanned vehicles as the carrier, and designs an improved Tabu Search algorithm to solve the model. In simulation, our optimization model can fully realize the advantages of energy savings, emission reduction and cost reduction of electric unmanned vehicles compared to operation using the traditional single distribution and single source vehicle distribution models. The solution provided here can also reduce the promotion of terminal distribution in logistics activities and promote the green, low carbon and sustainable development in cities.